Question : Mapper and Reducer runs on the same machine then output of the Mapper will not be transferred via network to the reducer 1. True 2. False
Correct Answer : 1
Explanation: If Mappers and Reducer runs on the same node, then there is ni need of transferring the data over the network. Which will reduce lot of network overhead.
Refer HadoopExam.com Recorded Training Module : 3 and 4
Question : No reducers can start until all the mappers have finished ? 1. True 2. False
Correct Answer : 1
Explanation: The reduce() method in the Reducers cannot start until all the Mappers have finished.
In practice, Hadoop will start trnsfer data from Mappers to Reducers as the Mappers finish work.
The developer can specify the percentage of Mappers which should finish before Reducers start
retrieving data.
The developers reduce method still does not start untill all intermediate data has been transferred and sorted.
Refer HadoopExam.com Recorded Training Module : 3 and 4
Question :
Hadoop will start transferring the data as soon as Mapper finishes it task and it will not wait till last Map Task finished 1. True 2. False
Correct Answer : 1
Explanation: In practice, Hadoop will start trnsfer data from Mappers to Reducers as the Mappers finish work.
The developer can specify the percentage of Mappers which should finish before Reducers start
retrieving data.
The developers reduce method still does not start untill all intermediate data has been transferred and sorted.
Refer HadoopExam.com Recorded Training Module : 3 and 4
1. This a single machine cluster 2. All daemons run on the same machine 3. It does not require to run all the daemon in this mode 4. All 1,2 and 3 are correct 5. Only 1 and 2 are correct